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DazzleML Roadmap

Development roadmap and planned features

Current Projects (Available Now)

✅ ComfyUI Triton Installer

Status: Active, Most Popular

  • One-click installation of Triton and SageAttention
  • 20-40% speed improvements
  • Cross-platform (Windows, Linux)
  • Downloads: Most downloaded Dazzle project overall
  • Maintenance: Actively maintained with updates

Full Documentation →

✅ find-best-images

Status: Active

  • CLIP-based similar image detection and deduplication
  • Objective quality evaluation (dimensions, resolution, filesize, format)
  • Multi-directory scanning with pattern filtering
  • Use Cases: Dataset curation, photo collection deduplication
  • Maintenance: Active development

Full Documentation →

✅ AI Training Monitor

Status: Active

  • Real-time training visualization
  • Loss tracking and sample monitoring
  • Resource utilization monitoring
  • Use Cases: Long training runs, experiment comparison
  • Maintenance: Active development

Full Documentation →

✅ MCP Server Tutorial

Status: Active

  • Complete guide to building MCP servers
  • AI assistant integration examples
  • TodoAI ecosystem integration
  • Use Cases: Custom AI tools, workflow integration
  • Maintenance: Active documentation

Full Documentation →

Planned Projects

Roadmap prioritized based on community feedback and sponsorship support.

Q4 2025 - Q1 2026

Model Version Manager

Priority: High Complexity: Medium

Track and manage AI model versions:

  • Version control for models
  • Checkpoint management
  • Model comparison tools
  • Storage optimization
  • Metadata tracking

Use Cases:

  • Track model iterations
  • Compare checkpoint performance
  • Rollback to previous versions
  • Share models with team

Dataset Analyzer

Priority: High Complexity: Medium

Statistical analysis of training datasets:

  • Distribution analysis
  • Quality metrics
  • Bias detection
  • Coverage analysis
  • Validation reports

Use Cases:

  • Validate dataset quality
  • Detect biases
  • Ensure coverage
  • Research dataset characteristics

Generation Optimizer

Priority: Medium Complexity: High

Automatic workflow optimization:

  • Analyze generation workflows
  • Suggest optimizations
  • A/B test parameters
  • Performance profiling
  • Quality-speed tradeoffs

Use Cases:

  • Optimize ComfyUI workflows
  • Find best parameters
  • Balance speed vs quality
  • Production tuning

Training Scheduler

Priority: Medium Complexity: Medium

Intelligent training job scheduling:

  • Queue training jobs
  • Resource allocation
  • Priority scheduling
  • Cost optimization
  • Multi-GPU orchestration

Use Cases:

  • Manage multiple experiments
  • Optimize GPU utilization
  • Schedule long training runs
  • Team resource sharing

Q2-Q3 2026

Multi-GPU Training Orchestrator

Priority: High Complexity: High

Distributed training management:

  • Multi-GPU coordination
  • Distributed data parallel
  • Model parallel support
  • Fault tolerance
  • Performance monitoring

Use Cases:

  • Scale training to multiple GPUs
  • Distributed experiments
  • Large model training
  • Production training pipelines

Model Comparison Tool

Priority: Medium Complexity: Medium

Compare model outputs systematically:

  • Side-by-side comparison
  • Batch evaluation
  • Metric tracking
  • A/B testing
  • Statistical analysis

Use Cases:

  • Compare model versions
  • Evaluate fine-tuning
  • Quality assessment
  • Research comparisons

Automated Dataset Curation

Priority: High Complexity: High

AI-powered dataset quality control:

  • Automatic quality filtering
  • Duplicate detection
  • Outlier identification
  • Consistency checking
  • Labeling assistance

Use Cases:

  • Clean training datasets
  • Remove low-quality samples
  • Ensure consistency
  • Reduce manual curation

Production Monitoring Dashboard

Priority: Medium Complexity: Medium

Monitor generation services:

  • Real-time metrics
  • Error tracking
  • Performance monitoring
  • Cost tracking
  • Alerting system

Use Cases:

  • Production AI services
  • Monitor uptime
  • Track costs
  • Detect issues

Long Term (2027+)

Hosted Training Service

Priority: Medium Complexity: Very High

Cloud training with monitoring:

  • Managed training infrastructure
  • GPU rental integration
  • Automatic scaling
  • Cost optimization
  • Team collaboration

Considerations:

  • Local-first approach maintained
  • Optional cloud for scale
  • User controls data
  • Competitive pricing

Model Marketplace Integration

Priority: Low Complexity: High

Share and discover models:

  • Model sharing platform
  • Version control
  • License management
  • Model cards
  • Community ratings

Integration with:

  • Hugging Face
  • CivitAI
  • Custom deployments

Enterprise Features

Priority: Medium Complexity: High

Team collaboration and access control:

  • Multi-user support
  • Role-based access
  • Audit logging
  • SSO integration
  • On-premise deployment

For:

  • Studios and agencies
  • Research teams
  • Enterprise AI development

Advanced AI Integrations

Priority: Medium Complexity: Medium

More MCP servers and tools:

  • Additional MCP integrations
  • Domain-specific tools
  • Custom workflows
  • Community plugins

Feature Requests

Planned Improvements to Existing Tools

ComfyUI Triton Installer

  • ✅ Windows support (done)
  • ✅ Linux support (done)
  • 🚧 macOS support (in progress)
  • ⏳ Additional optimization backends
  • ⏳ Better error recovery
  • ⏳ Performance tuning presets

find-best-images

  • ⏳ PyPI publication
  • ⏳ Additional quality metrics
  • ⏳ Improved embedding caching
  • ⏳ Performance optimizations for large collections

AI Training Monitor

  • ⏳ PyPI publication
  • ⏳ Multi-run comparison UI
  • ⏳ Export to TensorBoard
  • ⏳ Slack/Discord notifications
  • ⏳ Mobile app
  • ⏳ Team collaboration

MCP Integrations

  • ⏳ More example servers
  • ⏳ Security best practices guide
  • ⏳ Performance optimization guide
  • ⏳ Additional TodoAI features

Community-Requested Features

How to Request Features

  1. Search existing discussions: GitHub Discussions
  2. Describe use case: What problem does this solve?
  3. Show examples: How would you use it?
  4. Consider alternatives: Why not existing tools?

Popular Requests

Coming soon: Community voting on features

Submit your ideas:

Roadmap Prioritization

How We Decide

Priority Factors:

  1. User impact - How many users benefit?
  2. Problem severity - How painful is current solution?
  3. Implementation cost - How much effort required?
  4. Sponsorship support - Community funding
  5. Ecosystem fit - How does it integrate?

Example Scoring:

Model Version Manager:
- User impact: High (affects all ML developers)
- Problem severity: Medium (manual tracking painful)
- Implementation: Medium (clear requirements)
- Sponsorship: High (requested by sponsors)
- Ecosystem: High (integrates with training monitor)
→ Priority: High for Q4 2025

Sponsorship Impact

Sponsorship directly influences roadmap priorities:

Sponsor Tiers

$25/month - Bronze:

  • Vote on features
  • Early access to beta releases

$100/month - Silver:

  • Influence quarterly roadmap
  • Priority bug fixes

$500/month - Gold:

  • Dedicated feature development time
  • Custom integrations

$2,000/month - Platinum:

  • Custom tool development
  • Priority support
  • Direct roadmap input

Sponsor on GitHub →

Timeline Estimates

Note: All estimates subject to change based on:

  • Community feedback
  • Technical challenges
  • Sponsorship support
  • Resource availability

2025 Q4

  • Model Version Manager (planned)
  • Dataset Analyzer (planned)
  • macOS support for Triton Installer
  • PyPI releases for existing tools

2026 Q1

  • Training Scheduler
  • Generation Optimizer
  • find-best-images improvements

2026 Q2-Q3

  • Multi-GPU Training Orchestrator
  • Model Comparison Tool
  • Automated Dataset Curation

2026 Q4+

  • Production Monitoring Dashboard
  • Enterprise features
  • Hosted services (evaluation)

How to Contribute

Code Contributions

  • Pick a feature from roadmap
  • Discuss in GitHub Discussions
  • Submit PRs to relevant repos

Feedback

  • Test beta releases
  • Report bugs and issues
  • Suggest improvements

Sponsorship

  • Direct project funding
  • Influence roadmap priorities
  • Enable faster development

Transparency

Roadmap Updates

  • Quarterly: Major roadmap review
  • Monthly: Progress updates
  • Real-time: GitHub project boards

Last Updated: 2025-11-08 Next Review: 2026-02-01

Part of DazzleProj - The Dazzle Ecosystem